Estimating dynamic origin-destination demand: A hybrid framework using license plate recognition data. - Baichuan Mo; Ruimin Li; Jingchen Dai (Comput. Aided Civ. Infrastructure Eng., 2020)

Assignment-based Path Choice Estimation for Metro Systems Using Smart Card Data. - Baichuan Mo; Zhenliang Ma; Haris N. Koutsopoulos; Jinhua Zhao (CoRR, 2020)

Dynamic Interaction between Shared Autonomous Vehicles and Public Transit: A Competitive Perspective. - Baichuan Mo; Zhejing Cao; Hongmou Zhang; Yu Shen; Jinhua Zhao (CoRR, 2020)

Modeling Epidemic Spreading through Public Transit using Time-Varying Encounter Network. - Baichuan Mo; Kairui Feng; Yu Shen; Clarence Tam; Daqing Li; Yafeng Yin; Jinhua Zhao (CoRR, 2020)

Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks. - Shenhao Wang; Baichuan Mo; Jinhua Zhao (CoRR, 2020)

Individual Mobility Prediction: An Interpretable Activity-based Hidden Markov Approach. - Baichuan Mo; Zhan Zhao; Haris N. Koutsopoulos; Jinhua Zhao (CoRR, 2021)

Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark. - Shenhao Wang; Baichuan Mo; Stephane Hess; Jinhua Zhao (CoRR, 2021)

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty. - Baichuan Mo; Haris N. Koutsopoulos; Zuo-Jun Max Shen; Jinhua Zhao (CoRR, 2022)

Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach. - Baichuan Mo; Zhan Zhao; Haris N. Koutsopoulos; Jinhua Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. - Yiwen Sun; Wenzheng Hu; Donghua Zhou; Baichuan Mo; Kun Fu 002; Zhengping Che; Zheng Wang 010; Shenhao Wang; Jinhua Zhao; Jieping Ye; Jian Tang 008; Changshui Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

Evaluation of Public Transit Systems under Short Random Service Suspensions: A Bulk-Service Queuing Approach. - Baichuan Mo; Li Jin; Haris N. Koutsopoulos; Zuo-Jun Max Shen; Jinhua Zhao (CoRR, 2023)

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network. - Baichuan Mo; Qing Yi Wang; Xiaotong Guo; Matthias Winkenbach; Jinhua Zhao (CoRR, 2023)

Large Language Models for Travel Behavior Prediction. - Baichuan Mo; Hanyong Xu; Dingyi Zhuang; Ruoyun Ma; Xiaotong Guo; Jinhua Zhao (CoRR, 2023)

Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach. - Baichuan Mo; Zhenliang Ma; Haris N. Koutsopoulos; Jinhua Zhao (Transp. Sci., 2023)

Proof of Travel for Trust-Based Data Validation in V2I Communication. - Dajiang Suo; Baichuan Mo; Jinhua Zhao; Sanjay E. Sarma (IEEE Internet Things J., 2023)

Robust Transit Frequency Setting Problem With Demand Uncertainty. - Xiaotong Guo; Baichuan Mo; Haris N. Koutsopoulos; Shenhao Wang; Jinhua Zhao (IEEE Trans. Intell. Transp. Syst., 2024)

TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. - Shiyu Wang 001; Jiawei Li; Xiaoming Shi 001; Zhou Ye 001; Baichuan Mo; Wenze Lin; Shengtong Ju; Zhixuan Chu; Ming Jin 005 (ICLR, 2025)